Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

iitsbrn vs Steve 29–31 48.33%
iitsbrn vs Bryan 36–21 63.16%
iitsbrn vs Kazuya 32–20 61.54%
iitsbrn vs Reina 29–20 59.18%
iitsbrn vs Jin 29–19 60.42%
iitsbrn vs Lili 33–12 73.33%
iitsbrn vs Paul 26–14 65.00%
iitsbrn vs Lee 16–22 42.11%
iitsbrn vs Heihachi 18–20 47.37%
iitsbrn vs Jun 28–9 75.68%
iitsbrn vs Yoshimitsu 21–15 58.33%
iitsbrn vs King 26–7 78.79%
iitsbrn vs Dragunov 19–12 61.29%
iitsbrn vs Lars 21–10 67.74%
iitsbrn vs Asuka 24–4 85.71%
iitsbrn vs Hwoarang 14–13 51.85%
iitsbrn vs Xiaoyu 20–5 80.00%
iitsbrn vs Leroy 17–8 68.00%
iitsbrn vs Law 18–6 75.00%
iitsbrn vs Claudio 11–9 55.00%
iitsbrn vs Feng 8–11 42.11%
iitsbrn vs Alisa 8–11 42.11%
iitsbrn vs Leo 9–9 50.00%
iitsbrn vs Eddy 14–3 82.35%
iitsbrn vs Clive 12–5 70.59%
iitsbrn vs Azucena 12–4 75.00%
iitsbrn vs Lidia 11–4 73.33%
iitsbrn vs Nina 7–7 50.00%
iitsbrn vs Kuma 12–2 85.71%
iitsbrn vs Jack-8 4–7 36.36%
iitsbrn vs Zafina 5–6 45.45%
iitsbrn vs Victor 8–3 72.73%
iitsbrn vs Raven 9–2 81.82%
iitsbrn vs Shaheen 2–8 20.00%
iitsbrn vs Devil Jin 7–2 77.78%
iitsbrn vs Panda 0–2 0.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.